{"id":"W4200585168","doi":"10.1002/pan3.10275","title":"Local knowledge and relational values of Midwestern woody perennial polyculture farmers can inform tree‐crop policies","year":2021,"lang":"en","type":"article","venue":"People and Nature","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Polyculture; Ecosystem services; Agriculture; Agroforestry; Business; Perennial plant; Environmental resource management; Agricultural economics; Economics; Geography; Ecosystem; Ecology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004668519,0.0001062233,0.0001177974,0.00003382068,0.0001026095,0.00002218342,0.00006554348,0.0001440394,0.0003899038],"category_scores_gemma":[0.00001629566,0.00008598731,0.00003373996,0.0002122424,0.0001768952,0.0001267969,0.0001754931,0.0001861755,0.00002042351],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002097971,"about_ca_system_score_gemma":0.00001551632,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006966232,"about_ca_topic_score_gemma":0.007152857,"domain_scores_codex":[0.9994312,0.00001605152,0.0001063234,0.0001520007,0.0001418079,0.0001526127],"domain_scores_gemma":[0.9997651,0.00002706051,0.00003732447,0.00009010473,0.00001115399,0.00006922848],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007743709,0.0001433822,0.8718254,0.0001351272,0.000107707,0.000009336241,0.03180737,0.00009433029,0.001797013,0.01327106,0.04655308,0.03417878],"study_design_scores_gemma":[0.0004490595,0.00005282486,0.9268628,0.00001564348,0.0000392892,0.00001692462,0.0008108638,0.0002769193,0.0004443896,0.0003639183,0.070499,0.0001683633],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9660828,0.001323368,0.000005560463,0.001027754,0.00007371344,0.00006260063,0.00002638525,0.00001190638,0.03138591],"genre_scores_gemma":[0.9852923,0.0002653256,0.00008290353,0.0003095364,0.00006798529,0.000002106113,0.00004760172,0.00000574716,0.01392648],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05503743,"threshold_uncertainty_score":0.4269173,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006170785957372692,"score_gpt":0.2365991192673634,"score_spread":0.2304283333099907,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}